About Course
This course provides a comprehensive training in biostatistics with hands-on training using R software. Students will learn essential statistical concepts and methods used in health science and medical research. The course also provides foundational programming skills in R, enabling students to write scripts, manage datasets, and perform statistical analyses. Through real-world examples and datasets, the course covers descriptive and inferential statistics, regression models, and survival analysis. Emphasis is placed on the interpretation of results and application of statistical techniques in health-related research. In Bright Health Science, this course is instructed by Dr. Mohammad Ali Omrani. No prior experience with R or prior training in statistics is required
Course Content
Session 01: Introduction to Biostatistics and R
-
Session 01: Introduction to Biostatistics and R
Session 02: Descriptive Statistics andData Visualization
Session 03: Probability Theory and its Applications
Session 04: Probability Distributions
Session 05: Statistical Inference and Hypothesis Testing (Comparing Two Means)
Session 06: Inference for Proportions (Comparing Proportions)
Session 07: Effect Size Measures (Risk Ratio, Odds Ratio)
Session 08: Non-Parametric Analyses
Session 09: Analysis of Variance (ANOVA)
Session 10: Linear Regression
Session 11: Logistic Regression
Session 12: Survival Analysis
Session 13: Application of Biostatistics
Student Ratings & Reviews
